Breast cancer prognosis evaluation model and establishing method thereof

Abstract

The invention provides a breast cancer prognosis evaluation model and an establishing method thereof. Differentially expressed genes are screened by selecting Chinese population as the research objectand through an RNA-seq method, the genes closely related to recurrence are screened out, and thus the prediction model suitable for the breast cancer recurrence risk of the Chinese population is obtained; and the model comprises the 190 genes which are differentially expressed in recurrence groups and non-recurrence groups and shown in the tablet 1. The model can provide more accurate individualized treatment effect prediction and ten-year recurrence risk prediction for early-stage breast cancer patients of the Chinese population, thus disease progression does not quickly occur in the high-risk population due to the lack of postoperative adjuvant chemotherapy, and the bodies of the low-risk population do not bear unnecessary chemotherapy toxic and side effects due to overtreatment either.

Description

technical field [0001] The invention relates to the technical field of high-throughput sequencing, in particular to a breast cancer prognosis assessment model and a method for establishing the same. Background technique [0002] For patients with hormone receptor positive, Her2 and lymph node negative early breast cancer, it has always been a big problem for clinicians to give chemotherapy after surgical resection to reduce the chance of postoperative tumor recurrence and metastasis. Insufficient chemotherapy will increase the risk of postoperative tumor recurrence and metastasis, while excessive chemotherapy will cause patients to suffer from unnecessary chemotherapy, cause unnecessary waste of medical resources and social wealth, and increase the economic losses and burdens of society and patients. [0003] Breast cancer is a heterogeneous disease, with different immunohistochemistry, molecular characteristics, pathological classification and gene expression, and often dif...

AI Technical Summary

Problems solved by technology

[0021] As far as the detection method is concerned, Oncotype DX uses fluorescent quantitative PCR to detect the expression levels of 21 genes, so the quality of the sample will have a great impact on the accuracy of the test results, especially for FFPE samples, which are the most common in clinical practice. If the sample If the degradation is too severe, the extracted total RNA fragments will be too short, which will cause inaccurate quantitative results of qPCR and affect the detection results.

MammaPrint uses gene chips to detect the expression levels of 70 related genes in tumor tissues. The biggest limitation of gene chip technology is that it can only detect genes that are known to be expressed, which leads to relatively limited research content.

In addition, the dynamic range of microarray detection is narrow, and it is often necessary to make a selection between high-abundance transcripts and low-abundance transcripts, while the detection of rare transcripts is not easy, and general microarrays cannot identify splicing mutations or alleles. Gene-specific mutations, so the gene combination and prediction model obtained by MammaPrint may not be the optimal result

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